A company (mapped as a Lucene doc) has an address associated with it. It also has a list of store locations, which each have an address. Given a lat/long point, return a list of companies which have either a store location or an address within x miles from that point. There should be the ability to search on just company addresses, store locations, or both.

This problem requires that you index a "primary" lat/long pair, and multiple "secondary" lat/long pairs, and be able to search only primary lat/long, only secondary lat/long or both.

This excludes the possibility of using SOLR-2155 or LUCENE-3795 as-is. I'm sure it would have been possible to patch either to do so

Also, SOLR-2155 depended on Solr, and I needed a pure Lucene 3.5 solution. And MultiValueSource, which SOLR-2155 uses, does not appear to be supported in Lucene 3.5.

The SOLR-2155 implementation is also pretty inefficient: it creates a List object for every single doc in the index in order to support multi-point search.

The general outline of the method is:

1. Search store locations index and collect company IDs and distances 2. Augment DistanceFilter with store location distances 3. Add a BooleanQuery with company IDs. This is to include companies in the final result-set whose address does not match, but have one or more store locations which do 4. Search company index 5. Return results

The algorithm in detail:

1. Index the company address with the company document, i.e the document containing company fields such as name etc

2. In a separate index (or in the same index but in a different document "type"), index the store locations, adding the company ID as a field.

3. Given a lat/long point to search, first search the store locations index. Collect a unique list of company doc-ids:distance in a LinkedHashMap, checking for duplicates. Note that this is the lucene doc-id of the store location's corresponding company, NOT the company ID field value. This will be used to augment the distancefilter in the next stage.